Results 51 to 60 of about 166,080,641 (165)
ABSTRACT Fatty liver disease (FLD) is a prevalent chronic condition that can progress to clinically significant liver injury if left untreated. Given its high prevalence, FLD poses a substantial public health burden. Traditional Chinese medicine suggests that the appearance of tongue reflects hepatic and metabolic status, enabling artificial ...
Tao Chen +6 more
wiley +1 more source
Geodesic Monte Carlo on Embedded Manifolds [PDF]
Markov chain Monte Carlo methods explicitly defined on the manifold of probability distributions have recently been established. These methods are constructed from diffusions across the manifold and the solution of the equations describing geodesic flows
Simon Byrne +5 more
core +1 more source
Virtual cell construction for artificial intelligence‐driven drug discovery
Cells are the fundamental units through which genetic variation and pharmacological perturbations influence disease processes and therapeutic responses. However, cellular responses to intervention are strongly shaped by biological context, creating a central challenge for drug discovery: predicting how specific perturbations reshape cellular systems ...
Yuran Jia +5 more
wiley +1 more source
A General Type of Almost Contact Manifolds [PDF]
Among almost contact manifolds Sasakian manifolds, Kenmotsu manifolds (called also “a certain class of almost contact manifolds”) and cosymplectic manifolds have been studied by many authors.
Catalin Angelo Ioan
core
Anchor Flow Maps: Efficient Sampling and Approximation of the Entire Flow Map
Abstract Flow maps are a fundamental concept for the visualization and analysis of time‐dependent flows. A common approach is to apply sampling and reconstruction – which comes with a number of problems: flow maps are high‐dimensional functions with locally large gradients which makes approximations very challenging.
D. Stelter +3 more
wiley +1 more source
F3AMD: Fast FiLM‐Conditioned Fourier Autoregressive Motion Diffusion
Abstract Recent advances in generative motion synthesis have enabled realtime autoregressive generation of diverse and realistic character animations conditioned on user inputs, as demonstrated by models such as the Conditional Autoregressive Motion Diffusion Model (CAMDM).
Calvin Z. Qiao +5 more
wiley +1 more source
Lack of strong completeness for stochastic flows [PDF]
It is well known that a stochastic differential equation (SDE) on a Euclidean space driven by a Brownian motion with Lipschitz coefficients generates a stochastic flow of homeomorphisms.
Li, X-M +5 more
core +1 more source
Cotesia glomerata polydnavirus and venom, either alone or in combination, affect colonisation by members of the arthropod community in a natural field setting. Plants damaged by P. brassicae injected with both polydnavirus and venom were colonised more often by Mamestra brassicae caterpillars, Myzus persicae aphids and aphid parasitoids compared to ...
Sarah Naomi Kalisvaart +5 more
wiley +1 more source
Layered Radial Aquifer Model for Open‐Pit Mine Closure with Managed Aquifer Recharge
A radially symmetric layered aquifer model (unconfined–aquitard–confined) coupled to a pit‐lake water balance is developed to screen managed aquifer recharge (MAR) after open‐pit mine closure. Dimensionless type curves quantify trade‐offs between pit recovery time, pumping/recycling, and unconfined mounding as functions of aquifer time scales, aquitard
Behzad Ataie Ashtiani
wiley +1 more source
Information‐Theoretic Approach to Financial Market Modeling
ABSTRACT The paper treats the financial market as a communication system, using four information‐theoretic assumptions to derive an idealized model with only one parameter. State variables are scalar stationary diffusions. The model maximizes the surprisal of the market and minimizes the Kullback–Leibler divergence between the benchmark‐neutral pricing
Eckhard Platen
wiley +1 more source

